An aggregate and iterative disaggregate algorithm with proven optimality in machine learning

Author:

Park Young Woong,Klabjan Diego

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Software

Reference31 articles.

1. Balas, E. (1965). Solution of large-scale transportation problems through aggregation. Operations Research, 13(1), 82–93.

2. Bärmann, A., Liers, F., Martin, A., Merkert, M., Thurner, C., & Weninger, D. (2013). Solving network design problems via iterative aggregation. www.mso.math.fau.de/uploads/tx_sibibtex/Aggregation-Preprint.pdf .

3. Bennett, K. P.,& Demiriz, A. (1999). Semi-supervised support vector machines. In Proceedings of the 1998 conference on advances in neural information processing systems II (pp. 368–374).

4. Chang, C.-C., & Lin, C.-J. (2011). LIBSVM: A library for support vector machines. ACM Transactions on Intelligent Systems and Technology, 2, 1–27, 2011. http://www.csie.ntu.edu.tw/~cjlin/libsvm .

5. Chapelle, O., Schølkopf, B., & Zien, A. (2010). Semi-supervised learning. Cambridge: MIT Press.

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